NCT04789902

Brief Summary

Wait times and overcrowding are challenging emergency departments (EDs) around the world. Several countries with advanced healthcare systems cannot keep pace with patient demand, and Canada ranks among the longest wait times compared to peer-industrialized countries. In fact, the Canadian Institute for Health Information (CIHI) identified an 11% increase in ED wait times from 2015-2016 to 2016-2017. This translates to long wait times that deter patients from pursuing necessary care and increases their likelihood of leaving without being seen by an ED physician. In Newfoundland and Labrador (NL), this issue has precipitated strikingly serious situations regarding long wait times that have made the province a case-in-point for ED issues. To counter this, the investigators propose an innovative quality-improvement intervention called SurgeCon that includes a protocol-driven software platform and several other initiatives to reduce wait times and improve the sustainability of health systems without significant workforce changes. The investigators piloted SurgeCon at the ED in Carbonear, Newfoundland and Labrador (NL) and found there was a 32% reduction in ED wait time.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
436,052

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2021

Longer than P75 for not_applicable

Geographic Reach
1 country

4 active sites

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2021

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

March 3, 2021

Completed
7 days until next milestone

First Posted

Study publicly available on registry

March 10, 2021

Completed
3.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2024

Completed
1.6 years until next milestone

Study Completion

Last participant's last visit for all outcomes

March 31, 2026

Completed
Last Updated

October 1, 2025

Status Verified

September 1, 2025

Enrollment Period

3.7 years

First QC Date

March 3, 2021

Last Update Submit

September 26, 2025

Conditions

Keywords

SurgeConEmergency DepartmentStepped-Wedge DesignRandomized TrialsWait Time

Outcome Measures

Primary Outcomes (3)

  • Length of stay

    Key Performance Indicator (KPI) data at the time of the emergency department visit. Total length of stay in the emergency department. Patients are either admitted/transferred to an inpatient unit in the hospital or discharged from the emergency department.

    31 Months

  • Time to physician's initial assessment

    Key Performance Indicator (KPI) data at the time of the ED visit. Also referred to as 'door to doctor' time. It is the amount of time it takes from patient arrival to being seen by a physician or their delegate.

    31 Months

  • Number of patients left without being seen

    Key Performance Indicator (KPI) data at the time of the ED visit. Patients who are registered and/or triaged but leave before being seen by a physician or their delegate.

    31 Months

Secondary Outcomes (2)

  • Patient satisfaction and patient reported experiences with ED wait time

    31 Months

  • Economic impact of intervention on emergency department services

    31 Months

Study Arms (4)

Hospital site 1

EXPERIMENTAL

This site will provide usual ED care during the control period which will last for the first six months of the study. After six months this site will begin transitioning to the SurgeCon management platform which they will use until the end of the study.

Other: SurgeCon

Hospital site 2

EXPERIMENTAL

This site will provide usual ED care during the control period which will last for the first 12 months of the study. After 12 months this site will begin transitioning to the SurgeCon management platform which they will use until the end of the study.

Other: SurgeCon

Hospital site 3

EXPERIMENTAL

This site will provide usual ED care during the control period which will last for the first 18 months of the study. After 18 months this site will begin transitioning to the SurgeCon management platform which they will use until the end of the study.

Other: SurgeCon

Hospital site 4

EXPERIMENTAL

This site will provide usual ED care during the control period which will last for the first 24 months of the study. After 24 months this site will begin transitioning to the SurgeCon management platform which they will use until the end of the study.

Other: SurgeCon

Interventions

The SurgeCon intervention is a pragmatic ED management platform that includes three distinct intervention components which include 1) Restructuring ED Organization \& Workflow, 2) Establishing a Patient-Centric ED Environment, and 3) E-Health Action-Based ED Management that together act to improve ED efficiency and patient satisfaction and value of care.

Hospital site 1Hospital site 2Hospital site 3Hospital site 4

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • All individuals who visit any of the four selected emergency departments during the study period will be included.

You may not qualify if:

  • none

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Burin Peninsula Healthcare Centre

Burin, Newfoundland and Labrador, A0E1E0, Canada

Location

Dr. G.B. Cross Memorial Hospital

Clarenville, Newfoundland and Labrador, A5A1K3, Canada

Location

Health Sciences Centre

St. John's, Newfoundland and Labrador, A1B 3V6, Canada

Location

St. Clare's Mercy Hospital

St. John's, Newfoundland and Labrador, A1C5B8, Canada

Location

Related Publications (36)

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    PMID: 17400996BACKGROUND
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    PMID: 24842500BACKGROUND
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    PMID: 30134934BACKGROUND
  • Barker D, McElduff P, D'Este C, Campbell MJ. Stepped wedge cluster randomised trials: a review of the statistical methodology used and available. BMC Med Res Methodol. 2016 Jun 6;16:69. doi: 10.1186/s12874-016-0176-5.

    PMID: 27267471BACKGROUND
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    PMID: 26278881BACKGROUND
  • Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006 Nov 8;6:54. doi: 10.1186/1471-2288-6-54.

    PMID: 17092344BACKGROUND
  • Jiang, Jiming. "Consistent Estimators in Generalized Linear Mixed Models." Journal of the American Statistical Association, vol. 93, no. 442, 1998, pp. 720-729. JSTOR, www.jstor.org/stable/2670122. Accessed 2 Mar. 2021.

    BACKGROUND
  • Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007 Feb;28(2):182-91. doi: 10.1016/j.cct.2006.05.007. Epub 2006 Jul 7.

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  • Martin J, Taljaard M, Girling A, Hemming K. Systematic review finds major deficiencies in sample size methodology and reporting for stepped-wedge cluster randomised trials. BMJ Open. 2016 Feb 4;6(2):e010166. doi: 10.1136/bmjopen-2015-010166.

    PMID: 26846897BACKGROUND
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  • Shippee ND, Domecq Garces JP, Prutsky Lopez GJ, Wang Z, Elraiyah TA, Nabhan M, Brito JP, Boehmer K, Hasan R, Firwana B, Erwin PJ, Montori VM, Murad MH. Patient and service user engagement in research: a systematic review and synthesized framework. Health Expect. 2015 Oct;18(5):1151-66. doi: 10.1111/hex.12090. Epub 2013 Jun 3.

    PMID: 23731468BACKGROUND
  • Kamine TH, Rembisz A, Barron RJ, Baldwin C, Kromer M. Decrease in Trauma Admissions with COVID-19 Pandemic. West J Emerg Med. 2020 May 22;21(4):819-822. doi: 10.5811/westjem.2020.5.47780.

    PMID: 32726250BACKGROUND
  • Vashi AA, Sheikhi FH, Nashton LA, Ellman J, Rajagopal P, Asch SM. Applying Lean Principles to Reduce Wait Times in a VA Emergency Department. Mil Med. 2019 Jan 1;184(1-2):e169-e178. doi: 10.1093/milmed/usy165. No abstract available.

    PMID: 30007347BACKGROUND
  • Matthias H. The genealogy of lean production. Journal of Operations Management. 2007 2;25: doi.org/10.1016/j.jom.2006.04.001.

    BACKGROUND
  • El Sayed MJ, El-Eid GR, Saliba M, Jabbour R, Hitti EA. Improving Emergency Department Door to Doctor Time and Process Reliability: A Successful Implementation of Lean Methodology. Medicine (Baltimore). 2015 Oct;94(42):e1679. doi: 10.1097/MD.0000000000001679.

    PMID: 26496278BACKGROUND
  • Patey C, Norman P, Araee M, Asghari S, Heeley T, Boyd S, Hurley O, Aubrey-Bassler K. SurgeCon: Priming a Community Emergency Department for Patient Flow Management. West J Emerg Med. 2019 Jul;20(4):654-665. doi: 10.5811/westjem.2019.5.42027. Epub 2019 Jul 5.

    PMID: 31316707BACKGROUND
  • Patey C, Asghari S, Norman P, Hurley O. Redesign of a rural emergency department to prepare for the COVID-19 pandemic. CMAJ. 2020 May 11;192(19):E518-E520. doi: 10.1503/cmaj.200509. Epub 2020 Apr 21. No abstract available.

    PMID: 32317277BACKGROUND
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    PMID: 27534432BACKGROUND
  • Bellamkonda VR, Kumar R, Scanlan-Hanson LN, Hess JJ, Hellmich TR, Bellamkonda E, Campbell RL, Hess EP, Nestler DM. Pilot Study of Kano "Attractive Quality" Techniques to Identify Change in Emergency Department Patient Experience. Ann Emerg Med. 2016 Nov;68(5):553-561. doi: 10.1016/j.annemergmed.2016.02.005. Epub 2016 Apr 26.

    PMID: 27125817BACKGROUND
  • Griffen D, Callahan CD, Markwell S, de la Cruz J, Milbrandt JC, Harvey T. Application of statistical process control to physician-specific emergency department patient satisfaction scores: a novel use of the funnel plot. Acad Emerg Med. 2012 Mar;19(3):348-55. doi: 10.1111/j.1553-2712.2012.01304.x.

    PMID: 22435869BACKGROUND
  • Boudreaux ED, Mandry CV, Wood K. Patient satisfaction data as a quality indicator: a tale of two emergency departments. Acad Emerg Med. 2003 Mar;10(3):261-8. doi: 10.1111/j.1553-2712.2003.tb02000.x.

    PMID: 12615592BACKGROUND
  • Rahimipour Anaraki N, Mukhopadhyay M, Patey C, Norman P, Jewer J, Etchegary H, Hurley O, Walsh A, Senior DM, Wang PP, Asghari S. Factors Iinfluencing SurgeCon Implementation in Four Canadian Emergency Departments Guided by Consolidated Framework for Implementation Research. PLoS One. 2025 Dec 2;20(12):e0337389. doi: 10.1371/journal.pone.0337389. eCollection 2025.

  • Anaraki NR, Mukhopadhyay M, Jewer J, Patey C, Norman P, Hurley O, Etchegary H, Asghari S. A qualitative study of the barriers and facilitators impacting the implementation of a quality improvement program for emergency departments: SurgeCon. BMC Health Serv Res. 2024 Jul 27;24(1):855. doi: 10.1186/s12913-024-11345-w.

  • Mariathas HH, Hurley O, Anaraki NR, Young C, Patey C, Norman P, Aubrey-Bassler K, Wang PP, Gadag V, Nguyen HV, Etchegary H, McCrate F, Knight JC, Asghari S. A Quality Improvement Emergency Department Surge Management Platform (SurgeCon): Protocol for a Stepped Wedge Cluster Randomized Trial. JMIR Res Protoc. 2022 Mar 24;11(3):e30454. doi: 10.2196/30454.

  • Anaraki NR, Jewer J, Hurley O, Mariathas HH, Young C, Norman P, Patey C, Wilson B, Etchegary H, Senior D, Asghari S. Implementation of an ED surge management platform: a study protocol. Implement Sci Commun. 2022 Mar 2;3(1):21. doi: 10.1186/s43058-021-00247-1.

Related Links

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Shabnam Shabnam, PhD

    Memorial University of Newfoundland

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
CROSSOVER
Model Details: This is a stepped-wedge cluster randomized trial (SW-CRT) design, where the sequential crossover will occur in one direction. SW-CRT is a flexible CRT design progressively being used in trial arms with varying delays in switching from the control condition to the active intervention condition state. This study will include the implementation of the intervention in four different rural and urban hospitals. Therefore, one hospital will be randomly allocated using a stratified sampling technique to each of four sequences, which will determine the order in which the intervention is implemented across participating hospitals or clusters. This allocation of one cluster to each sequence maximizes the statistical power
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

March 3, 2021

First Posted

March 10, 2021

Study Start

January 1, 2021

Primary Completion

August 31, 2024

Study Completion

March 31, 2026

Last Updated

October 1, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will not share

De-identified data will be made available only for the people involved in data analysis. Reports generated by the analysis will be will only include aggregate level information and will be made available to other members of the research team and will be used for publications.

Locations